International Journal of Soft Computing and Engineering(TM)
Exploring Innovation| ISSN:2231-2307(Online)| Reg. No.:61903/BPL/CE/2011| Published by BEIESP| Impact Factor: 3.76
Home
Articles
Conferences
Editors
Scopes
Author Guidelines
Publication Fee
Privacy Policy
Associated Journals
Frequently Asked Questions
Contact Us
Volume-6 Issue-5: Published on November 05, 2016
03
Volume-6 Issue-5: Published on November 05, 2016

 Download Abstract Book

S. No

Volume-6 Issue-5, November 2016, ISSN:  2231-2307 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd. 

Page No.

1.

Authors:

Hassan Ali Salman

Paper Title:

A Digital Meter for Measuring the Rate of Heat Transferred Through Walls

Abstract:  Heat transfers through a wall are one of the most important parameters that must be considered in designing systems for heating or cooling building. In this paper a digital meter for measuring the rate of heat transferred through Walls have been designed to measure Time rate of heat transfer through the wall which gives an indication of the amount of energy lost through this path.

Keywords:
transfers, Heat, measure, Walls, systems for heating,


References:

1.    Jan F. Kreider and Frank Kreith, Solar energy Hand book, McGraw-Hill book company, Inc, 1981.
2.    S.Song, M.M. Yovanovich, and F.O.Goodman. "Thermal Gab Conductance of Conforming Surfaces in Contact", Jornal of Heat transfer 115(1993).

3.    L.S. Fletcher. "Recent Development in Contact Conductance Heat Transfer", Journal of Heat Transfer , 1988.

4.    Y. A. Çengel." Heat and Mass Transfer: A PracticalApproach". 3rd ed. New York: McGraw-Hill, 2007.

5.    Robert J. Ribando. "Heat Transfer Tools". New York:McGraw-Hill, 2002.

6.    Theodore L., "Heat transfer applications for the practicing engineer", Wiley, New Jersey, 2011.


1-4

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html






















 

2.

Authors:

Chander Shekhar Devra

Paper Title:

Interoperability Between Product Life Cycle Management (PLM) & Electronic Lab Note Book (ELN) for Chemical Companies to Accelerate Product Development

Abstract: Many companies struggle to integrate various system & sub-system used for their Product development. Even though product lifecycle Management System are claimed to be eco-system to integrate all systems & sub-system into one place but that is still not reached to a certain level of maturity. There are challenges being faced by companies. Information are still available on island of silos. These Island of Silos impacts business productivity, time to market, cost, rework etc. This paper presents need & challenges of the interoperability between Electronic Lab note book (ELN) used by R & Din design & develop phase of product life cycle management (PLM).Earlier there wireless focus on ELN software integration with PLM in context to process industries like Chemicals. ELN plays a significant role to complete the product evolution chain. In context to discrete industry like automobile & aerospace, PDM (Product Data Management) is handled through design tools like CAD / CAM. These tools are sufficiently integrated with PLM and resulting into higher productivity, better collaboration, less product cost & launch time. Whereas in case of chemical industry, CAD/CAM role is played by ELN. ELN is not sufficiently integrated with PLM. The purpose of this paper is to study, how to realize interaction & integration between ELN & PLM. Find out “what data” need to be exchanged between ELN & PLM. There is possibility to increase productivity, better collaboration between different stages of PLM which may result into reduction in product launch time & cost.

Keywords:
(ELN), (PLM). PLM, ELN & PLM, CAD/CAM, (Product Data Management).


References:

1.       http://www.kinematik.com/blog/bid/239721/9-Benefits-of-Integrating-SAP-with-your-Electronic-Lab-Notebook
2.       Peiyu Ren, Yancang Li, Huiping Song , CHEMICAL ENGINEERING TRANSACTIONS, VOL. 46, 2015 A publication of The Italian Association of Chemical Engineering website: www.aidic.it/cet

3.       https://www.cimdata.com

4.       Stark, J. (2004) Product Lifecycle Management: 21st century Paradigm for Product Realisation, Springer-Verlag, New York.

5.       Subrahmanian, E., Rachuri, S., Fenves,S.J., Foufou, S., Sriram, R.D. (2005) ‘Product lifecyclemanagement support: a challenge in supporting product design and manufacturing in anetworked economy’, International Journal of Product Lifecycle Management 2005 - Vol. 1,No.1 pp. 4 – 25

6.       Julien Le Duigou, Alain Bernard, Nicolas Perry, Jean-Charles Delplace ‘Application of PLM processes to respond to mechanical SMEs needs’  https://arxiv.org/abs/1011.5713

7.       Dr Cheryl Lund, Dassault Systèmes Biovia, ‘Race to Innovate’ http://www.specchemonline.com/featuredarticles/the-race-to-innovate

8.       White paper ‘PDM VS. PLM: IT ALL STARTS WITH PDM’htps://www.solidworks.com/sw/docs/PDMvsPLM_2010_ENG_FINAL.pdf

9.       Pikosz, P., Malmström, J. and Malmqvist, J. (1997) „Strategies for introducing PDM systems in engineering companies‟, Advances in Concurrent Engineering – CE97, 20–22 August, Rochester Hills, MI, USA, pp.425–434

10.    Rangan, R., Rohde, S., Peak, R., Chadha, B. and Bliznakov, P. (2005) „Streamlining product lifecycle processes: a survey of product lifecycle management implementations, directions, and challenges‟, Journal of Computing and Information Science in Engineering, Vol. 5, No. 3, pp.227–237


5-7

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html

3.

Authors:

Abdulhassan Nasayif Aldujaili

Paper Title:

Low Error Down Sampling Filter for Mobile System

Abstract:  This paper present, the design and simulation of decimation filter to work with wireless mobile system under software defined radio (SDR) technology. The decimation filter is designed with three stages of decimation filter that consists of Cascaded Integrated Comb (CIC) decimation filter, Compensating Finite Impulse Response (CFIR) filter and Programmable Finite Impulse Response (PFIR) filter. The three cascaded filters could operate to reduce the intermediate frequency from 100MHz to 100 KHz baseband signal in order to more processing. System Generator offers the multiplier less   Multiply-Accumulate (MAC) Finite Impulse Response block which reduce the implementation area. The three filters has been verified in investigated by mean of fixed point and floating point values using matlab 7.4 and Xilinxe Sys. Gen. The simulation and verification results achieved minimum error of approximately 2x10-4.  Therefore, the introduced techniques support the current and future wireless generation in intermediate frequency up to 100 MHz.  

Keywords:
 Decimation Filter, SDR, MATLAB, System Generator


References:

1.    Rajesh Mehra, “Reconfigurable Optimized WCDMA DDC for Software Defined Radios”, Cyber Journals: Multidisciplinary Journals in Science and Technology, Journal of Selected Areas in Telecommunications (JSAT), December Edition, 2010.
2.    RAVI KISHORE KODALI, “DDC and DUC Filters in SDR platforms”, Conference on Advances in Communication and Control Systems, Atlantis Press PP.203-208, 2013

3.    Maruthi G.B, et al, “Implementation of High Performance DUC and DDC for Software Defined Radio Applications”, International Journal of Computer Applications (0975 – 8887) Volume 110 – No. 6, pp. 23-25, January 2015

4.    Harjinder Singh, Sursumel Singh, “DESIGN & IMPLEMENTATION OF DIGITAL DOWN CONVERTOR FOR WCDMA SYSTEMS”, International Journal of Emerging Technologies in Computational and Applied Sciences (IJETCAS), 5(6), pp. 553- 556, 2013

5.    Rajesh Mehra, “Reconfigurable Design of GSM Digital down Converter for Enhanced Resource Utilization”, International Journal of Computer Applications (0975 – 8887) Volume 57 – No.11, November 2013

6.    Jasmine. S and 2 R.Latha, “Design of Digital Down Converter (DDC) for GSM”, International Journal of Innovative Science, Engineering & Technology, Vol. 2 Issue 10, October 2015.

7.    Sursumel Singh, “Design & Implementation of Digital down Converter for Wcdma System”, International Journal of Engineering Research and Development, Volume 8, Issue 11, PP. 47-50, 2013


8-12

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html







































































 

4.

Authors:

Anjali S. Jadhav, Smita. S. Ponde

Paper Title:

Saliency Based Ulcer Detection using Wireless Capsule Endoscopy Diagnosis

Abstract: Ulcer is one of the most common indications of many serious diseases in the human digestive tract. Especially for ulcers in the small intestine where other methods may not display properly, capsule endoscopy (WCE) is increasingly used in the diagnosis and clinical management. Since WCE generates lots of images of the entire inspection process, computer-aided detection ulcer is considered an essential relief for clinicians. In this work, a CAD system is proposed for fully automated computer in two stages to detect images WCE ulcer. In the first step, a detection method based on the effective prominence superpixel multilevel outline representation candidates proposed ulcer. To find the perceptual and semantically meaningful salient regions, the first image segment in multi-level superpixel segmentations. Each level corresponds to different initial sizes of super pixels region. Then the corresponding prominence according to the characteristics of color and texture of each level superpixel region is evaluated. At the end, we merge the salience maps of all levels together to obtain the final saliency map. The experiment results achieved promising accuracy 94.72% 94.63% sensitivity and, validating the effectiveness of the proposed method. Moreover, the results of the comparison show that our detection system outperforms the methods of prior art in the detection task of the ulcer.

Keywords:
 linear-town with limited coding (LLC), multilevel superpixel representation, prominence and the max-sharing method based on prominence.

References:

1.       L. Zhang, Z. GU, and H. Li, “SDSP: A novel saliency detection method by combining simple priors,” in Proc. 20th IEEE Int. Conf. Image Process., 2013, pp. 171–175.
2.       M. Manno, R. Manta, and R. Conigliaro, “Single-balloon enteroscopy,” in Ileoscopy, A. Trecca, Ed. New York: Springer, 2012, pp. 79–85.

3.       R. Achanta, A. Shaji, K. Smith, A. Lucchi, P. Fua, and S. Susstrunk, “Slic superpixels compared to state-of-the-art superpixel methods,” IEEE Trans. Patt. Anal.Mach. Intell., vol. 34, no. 11, pp. 2274–2282, Nov. 2012.

4.       S. Goferman, L. Zelnik-Manor, and A. Tal, “Context-aware saliency detection,” IEEE Trans. Pattern Anal. Mach. Intell., vol. 34, no. 10, pp. 1915–1926, Oct. 2012.

5.       Charisis, L. Hadjileontiadis, and G. Sergiadis, “Enhanced ulcer recognition from capsule endoscopic images using texture analysis,” New Adv. Basic Clin. Gastroenterol, pp. 185–210, 2012.

6.       S. Charisis, L. J. Hadjileontiadis, J. Barroso, and G. D. Sergiadis, “Intrinsic higher-order correlation and lacunarity analysis for WCE based ulcer classification,” in Proc. 25th Int. Symp. IEEE Comput. - Based Med. Syst., 2012, pp. 1–6.

7.       M.-M. Cheng, G.-X. Zhang, N. J. Mitra, X. Huang, and S.-M. Hu, “Global contrast based salient region detection,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2011, pp. 409–416.

8.       Al-Rahayfeh and A. A. Abuzneid, “Detection of bleeding in wireless capsule endoscopy images using range ratio color,” Int. J. Multimedia Appl., vol. 2, no. 2, pp. 1–10, 2010.

9.       N. M. Lee and G. M. Eisen, “10 years of capsule endoscopy: An update,” Expert Rev. Gastroenterol. Hepatol, vol. 4, no. 4, pp. 503–512, Aug. 2010

10.    R. Achanta and S. Susstrunk, “Saliency detection using maximum symmetric surround,” in Proc. 17th IEEE Int. Conf. Image Process., 2010, pp. 2653–2656.

11.    R. Achanta, S. Hemami, F. Estrada, and S. Susstrunk, “Frequency tuned salient region detection,” in Proc. IEEE Conf. Comput. Vis. Pattern Recognit., 2009, pp. 1597–1604.

12.    Upchurch and J. Vargo, “Small bowel enteroscopy,” Rev. Gastroenterol. Disorders, vol. 8, no. 3, pp. 169–177, 2008.

13.    L. Zhang, M. H. Tong, T. K. Marks, H. Shan, and G. W. Cottrell, “Sun: A Bayesian framework for saliency using natural statistics,” J. Vision, vol. 8, no. 7, p. 32, 2008.

14.    J. Harel, C. Koch, and P. Perona, “Graph-based visual saliency,” in Adv. Neural Inform. Process Syst., 2006, pp. 545–552.

15.    Karargyris and N. Bourbakis, “Detection of small bowel polyps and ulcers in wireless capsule endoscopy videos,” IEEE Trans. Biomed Eng., vol. 58, no. 10, pp. 2777–2786, Oct. 2011.


13-17

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html











































5.

Authors:

Song-Woo Sok, Young-Woo Jung, Cheol-Hun Lee

Paper Title:

ViMo-S: A Lightweight Hypervisor based on ARM Virtualization Extensions

Abstract:  The ViMo-S, a type 1 hypervisor for ARMv7 and ARMv8-based ARM server systems, supports full virtualization to run existing operating systems and applications unmodified. It uses ARM hardware virtualization extensions to optimize the performance of virtual machines. Therefore, its virtual machines’ system call latency is near physical machine’s, while other hypervisors like Xen and KVM show relatively slower and unstable performances in benchmark tests.

Keywords:
 ARM, Hypervisor, Virtualization.


References:

1.    Dall, C., Li, S. W., Lim, J. T., Nieh, J., and Koloventzos, G. (2016, June) “ARM Virtualization: Performance and Architectural Implications,” In Proceedings of International Symposium on Computer Architecture (ISCA 2016).
2.    Varanasi, P., and Heiser, G. (2011, July). Hardware-supported virtualization on ARM. In Proceedings of the Second Asia-Pacific Workshop on Systems (p. 11). ACM.

3.    Stabellini, S., and Campbell, I. (2012). Xen on arm cortex a15. Xen Summit North America, 2012.

4.    Dall, C., and Nieh, J. (2014, February). KVM/ARM: the design and implementation of the Linux ARM hypervisor. In ACM SIGPLAN Notices (Vol. 49, No. 4, pp. 333-348). ACM.

5.    Oh, S. C., Kim, K., Koh, K., and Ahn, C. W. (2010). ViMo (virtualization for mobile): a virtual machine monitor supporting full virtualization for ARM mobile systems. In Proceedings of Advanced Cognitive Technologies and Applications, COGNITIVE.

6.    McVoy, L. W., & Staelin, C. (1996, January). lmbench: Portable Tools for Performance Analysis. In USENIX annual technical conference (pp. 279-294).


18-20

www.blueeyesintelligence.org/attachments/File/fee/2checkout_download.html